Senior Risk Management Consultant, Hybrid Minnesota
HETI
HETI seeks a part-time consultant to assess insurance risks and provide industrial hygiene services. The role is primarily remote, with occasional local site visits.
Open
Deep Science Ventures is a venture creation company that turns scientific knowledge into high-impact startups by pairing promising research opportunities with founder-type scientists. Its work spans agriculture, computation, climate, and pharma, with a focus on regenerative food systems, computational breakthroughs, solutions to global heating, and disease-curing therapies. The company reports 42 launched companies, 37 projects in development, $160 million in attracted funding, and a portfolio valuation of $430 million.
Co-Founder & CTO, AI Drug Discovery (London Hybrid)
Lead Deep Science Ventures’ AI platform for forecasting drug-development and clinical-trial outcomes. Shape the evaluation framework, production technology, and founding technical team.
Description
- Own and advance the existing platform.
- Set the technical roadmap and deliver platform improvements.
- Define prediction tasks and connect decision-time evidence with later outcomes.
- Develop, assess, and compare modelling strategies.
- Measure predictive performance and calibration.
- Determine where the system performs reliably and where its predictions remain limited.
- Resolve evaluation risks involving leakage, label quality, and data contamination.
- Recruit the initial technical team after funding is secured.
- Support fundraising by communicating the technical approach, evidence, limitations, and development roadmap to investors.
- Build the platform directly for at least the first year.
- Partner with the biology and commercial founders to set the platform’s direction.
- Help improve the predictability of therapeutic development and shape which treatments move forward.
Requirements
- A recognised technical record from Google DeepMind, OpenAI, Anthropic, Meta AI, or a comparable frontier AI laboratory.
- Experience leading a team or a substantial technical programme.
- Willingness to remain hands-on and build the platform personally.
- Experience designing evaluations and benchmarks, including label definition, reliability checks, and leakage-resistant data splits.
- Strong knowledge of calibration, confidence intervals, base rates, and the constraints of small or noisy datasets.
- Broad expertise spanning hierarchical and Bayesian inference, classical statistics, graph learning including graph neural networks, probabilistic graphical models, and learned calibration.
- Experience operating production LLM systems with agent orchestration, tool integrations, context management, and regression-detection evaluation systems.
- Experience running multiple model providers in production is advantageous.
- Hands-on technical leadership, including reviewing and testing AI-generated code and automated pipelines.
- Ability to communicate uncertainty and limitations and identify when the available evidence is insufficient.
- Clear technical communication with collaborators and technical investors.
- Availability to move into a full-time role from spin-out.
- UK-based candidates preferred, though relocation or remote work may be possible for the right person.
- Must not be building, or have recently built, a company on the same foundation of agentic reasoning, knowledge graphs, and hypothesis generation for drug discovery.
- Experience with biology or clinical data is preferred.
- Previous founder experience is preferred.
- Reviewable research, software, or open-source work is preferred.
- Experience building evaluation or benchmarking infrastructure is preferred.
Benefits
- A genuine co-founder equity stake.
- An operational platform and an existing published scientific result.
- Technical authority from the outset, including architectural decisions.
- Access to Deep Science Ventures’ international network of investors, advisors, and industrial partners.
- Access to proprietary venture-building tools, resources, and processes.
- Ongoing post-spinout support with fundraising, commercial partnerships, recruitment, and team building.
- A full-time commitment from spin-out.
- Flexible location, with remote work possible for the right person.
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